function of dascore.proc.basic source

    self: Patch ,
    dim: str ,
)-> ‘PatchType’

Standardize data by removing the mean and scaling to unit variance.

The standard score of a sample x is calculated as:

z = (x - u) / s where u is the mean of the training samples or zero if with_mean=False, and s is the standard deviation of the training samples or one if with_std=False.


Parameter Description
dim The dimension along which the normalization takes place.


import dascore as dc

patch = dc.get_example_patch()

# standardize along the time axis
standardized_time = patch.standardize('time')

# standardize along the x axis
standardized_distance = patch.standardize('distance')